pr6

说明：  计算方法中的SOR算法，根据改变SOR因子的值观察精度变化(Calculation of the SOR algorithm, based on observation of changes in the value of SOR accuracy factor changes)

本代码为IEEE S_V信道的仿真文件！通过修改相应的参数 还可成为其他三种SV信道(This archive is based on ultra-wideband radio all the simulation code book! Editor Ge Lijia)

支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)

几本粒子群程序。用MATLAB编写。可以更改成自己能用的程序。(Particle Swarm several procedures. Prepared using MATLAB. Can be used to change into their own procedures.)

IEEE 802.15.4a信道模型报告(IEEE 802.15.4a channel)

Diagramme de Rayonnement Antenne Parabole alimenté par Dipole

利用ar模型和近似熵方法对癫痫脑电信号进行识别处理(Ar model and approximate entropy method epileptic EEG recognition processing)

luajit ffi implementation of thepiratebay s old torrent server hypercube

ActiveMQ学习文档,参考书籍,很有用的书籍(ActiveMQ study documents, reference books, useful books)

说明：  传感器阵列波束优化设计与应用书籍的第三章matlab程序(Chapter III matlab program of book Sensor array beam optimization design and application)